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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Mona, Licia; Amiridis, Vassilis; Cuevas, Emilio; Gkikas, Antonis; +22 Authors

    Authors acknowledge dr Sangboom Ryoo of Korean Meteorological Administration in Seoul for his help and support.The research leading to these results has received funding from the COST ActionCA16202, supported by COST Association (European Cooperation in Science and Technology), from DustClim Project as part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), DLR (DE), BMWFW (AT), IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union (Grant 690462) and by the European Union’s Horizon 2020 research program for societal challenges – smart, green and integrated transport under grant agreement no.723986 (project EUNADICS-AV – European Natural Disaster Coordination and Information System for Aviation). L. Mona acknowledges the ACTRIS-IMP (Implementation project), funded by the European Union’s Horizon 2020 research and innovation programme (Grant no 871115) and the contribution of the ACTRIS-ITALIA JRU (CNR prot. n. 0067310/2017). S. Basart acknowledges CAMS-84 and CAMS2-82 (part of the Copernicus Atmospheric Monitoring Services, CAMS) and the Spanish Jose Castillejo mobility programme (CAS18/0033). V. Amiridis acknowledges support from the European Research Council (grant no. 725698, D-TECT). A. Gkikas acknowledges support by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the “2nd Call for H.F.R.I. Research Projects to support Post-Doctoral Researchers” (project acronym: ATLANTAS, project number: 544). S. Kazadzis acknowledges the ACTRIS-CH (Aerosol, Clouds and Trace Gases Research Infrastructure–- Swiss contribution) funded by the State Secretariat for Education, Research, and Innovation, Switzerland. Work of P. Dagsson-Waldhauserova was partly funded by the Czech Science Foundation (HLD-CHANGE project, no. 20-06168Y). C. Pérez García-Pando acknowledges the long-term support from the AXA Research Fund, as well as the support received through the Ramón y Cajal programme (grant RYC-2015-18690) of the Spanish Ministry of Economy and Competitiveness, and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 773051).B. Weinzierl acknowledges funding under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 640458, A‐LIFE). Mineral dust produced by wind erosion of arid and semi-arid surfaces is a major component of atmospheric aerosol that affects climate, weather, ecosystems, and socio-economic sectors such as human health, transportation, solar energy, and air quality. Understanding these effects and ultimately improving the resilience of affected countries requires a reliable, dense, and diverse set of dust observations, fundamental for the development and the provision of skillful dust forecasts tailored products. The last decade has seen a notable improvement of dust observational capabilities in terms of considered parameters, geographical coverage, and delivery times, as well as of tailored products of interest to both the scientific community and the various end-users. Given this progress, here we review the current state of observational capabilities including in-situ, ground-based and satellite remote sensing observations, in Northern Africa, the Middle East and Europe for the provision of dust information considering the needs of various users. We also critically discuss observational gaps and related unresolved questions while providing suggestions for overcoming the current limitations. Our review aims to be a milestone for discussing dust observational gaps at a global level to address the needs of users, from research communities to nonscientific stakeholders "Article signat per 26 autors/es: Lucia Mona, Vassilis Amiridis, Emilio Cuevas, Antonis Gkikas, Serena Trippetta, Sophie Vandenbussche, Angela Benedetti, Pavla Dagsson-Waldhauserova, Paola Formenti, Alexander Haefele, Stelios Kazadzis, Peter Knippertz, Benoit Laurent, Fabio Madonna, Slobodan Nickovic, Nikolaos Papagiannopoulos, Gelsomina Pappalardo, Carlos Pérez García-Pando, Thomas Popp, Sergio Rodríguez, Andrea Sealy, Nobuo Sugimoto, Enric Terradellas, Ana Vukovic Vimic, Bernadette Weinzierl, and Sara Basart " Peer Reviewed

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CNR ExploRAarrow_drop_down
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    CNR ExploRA
    Article . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Antonijević, Ognjen; Jelić, Slobodan; Bajat, Branislav; Kilibarda, Milan;

    AbstractThis paper presents a transfer learning approach to the crop classification problem based on time series of images from the Sentinel-2 dataset labeled for two regions: Brittany (France) and Vojvodina (Serbia). During preprocessing, cloudy images are removed from the input data, the time series are interpolated over the time dimension, and additional remote sensing indices are calculated. We chose TransformerEncoder as the base model for knowledge transfer from source to target domain with French and Serbian data, respectively. Even more, the accuracy of the base model with the preprocessing step is improved by 2% when trained and evaluated on the French dataset. The transfer learning approach with fine-tuning of the pre-trained weights on the French dataset outperformed all other methods in terms of overall accuracy 0.94 and mean class recall 0.907 on the Serbian dataset. Our partially fine-tuned model improved recall of crop types that were poorly classified by the base model. In the case of sugar beet, class recall is improved by 85.71%.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Journal of Big Dataarrow_drop_down
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    Journal of Big Data
    Article . 2023 . Peer-reviewed
    License: CC BY
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    DOAJ
    Article . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Journal of Big Dataarrow_drop_down
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      Journal of Big Data
      Article . 2023 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Људске активности мењају карактеристике станишта и предела који представљају предуслов за постојање и одржавање биолошког диверзитета. Предмет истраживања у оквиру ове докторске дисертације је утицај карактеристика станишта и предела на диверзитет осоликих мува на 27 истраживаних локалитета на територији Србије. Прилоиком одређивања локланих карактеристика станишта подаци су добијени класификацијом ортомозаика помоћу беспилотне летелице као и анализом узорака хемијских и физичких својстава земљишта на истраживаним локалитетима. Дефинисани су, квантификовани и поређени степени деградације станишта из мапа добијених беспилотном летелицом са мапом потенцијалне вегетације и мапом земљишног покривача. Поред тога, утврђен је губитак врста на истраживаним локалитетима односом рецентног и потенцијалног диверзитета осоликих мува у Србији. Утицаји дефинисаних карактеристика станишта - локалних и предеоних анализирани су кроз четири модела регресије и класификације: рецентни диверзитет, губитак рецентног диверзитета, присуство и губитак заштићених и строго заштићених врста. Локалитети на подручју Војводине и локалитет Доње Власе су најсиромашнија станишта у погледу разноврсности фауне осоликих мува због интензивних антропогених активности као што су пољопривреда, интензивна употреба агрохемикалија и сеча шума, што доводи до иреверзибилних процеса даљег губитка врста. Насупрот њима, локалитети Демизлок и Малиник са највећим диверзитетом осоликих мува у Србији истовремено се одликују најмањим степеном деградације станишта. Наведени локалитети имају потенцијал да се прикључе заштићеним подручјима у циљу даљег очувања биодиверзитета. У три од четири анализирана модела класа шума, добијена на различитим скалама, је главно обележје које објашњава тренд и рангираност диверзитета осоликих мува на истраживаним локалитетима. Потврђено је да су изворне букове шуме главни центри разноврсности врста које заслужују посебну пажњу у конзервационом смислу. Резултати овог истраживања указују на важност класификације локалних карактеристика станишта помоћу беспилотне летелице и потврђују утицај на диверзитет осоликих мува и као такве имају потенцијал да постану алати за мониторинг осоликих мува и других опрашивача и модел организама на националном и европском нивоу. LJudske aktivnosti menjaju karakteristike staništa i predela koji predstavljaju preduslov za postojanje i održavanje biološkog diverziteta. Predmet istraživanja u okviru ove doktorske disertacije je uticaj karakteristika staništa i predela na diverzitet osolikih muva na 27 istraživanih lokaliteta na teritoriji Srbije. Priloikom određivanja loklanih karakteristika staništa podaci su dobijeni klasifikacijom ortomozaika pomoću bespilotne letelice kao i analizom uzoraka hemijskih i fizičkih svojstava zemljišta na istraživanim lokalitetima. Definisani su, kvantifikovani i poređeni stepeni degradacije staništa iz mapa dobijenih bespilotnom letelicom sa mapom potencijalne vegetacije i mapom zemljišnog pokrivača. Pored toga, utvrđen je gubitak vrsta na istraživanim lokalitetima odnosom recentnog i potencijalnog diverziteta osolikih muva u Srbiji. Uticaji definisanih karakteristika staništa - lokalnih i predeonih analizirani su kroz četiri modela regresije i klasifikacije: recentni diverzitet, gubitak recentnog diverziteta, prisustvo i gubitak zaštićenih i strogo zaštićenih vrsta. Lokaliteti na području Vojvodine i lokalitet Donje Vlase su najsiromašnija staništa u pogledu raznovrsnosti faune osolikih muva zbog intenzivnih antropogenih aktivnosti kao što su poljoprivreda, intenzivna upotreba agrohemikalija i seča šuma, što dovodi do ireverzibilnih procesa daljeg gubitka vrsta. Nasuprot njima, lokaliteti Demizlok i Malinik sa najvećim diverzitetom osolikih muva u Srbiji istovremeno se odlikuju najmanjim stepenom degradacije staništa. Navedeni lokaliteti imaju potencijal da se priključe zaštićenim područjima u cilju daljeg očuvanja biodiverziteta. U tri od četiri analizirana modela klasa šuma, dobijena na različitim skalama, je glavno obeležje koje objašnjava trend i rangiranost diverziteta osolikih muva na istraživanim lokalitetima. Potvrđeno je da su izvorne bukove šume glavni centri raznovrsnosti vrsta koje zaslužuju posebnu pažnju u konzervacionom smislu. Rezultati ovog istraživanja ukazuju na važnost klasifikacije lokalnih karakteristika staništa pomoću bespilotne letelice i potvrđuju uticaj na diverzitet osolikih muva i kao takve imaju potencijal da postanu alati za monitoring osolikih muva i drugih oprašivača i model organizama na nacionalnom i evropskom nivou. Human activities change the characteristics of habitats and landscapes, which are a prerequisite for the existence and maintenance of biological diversity. The subject of research within this doctoral dissertation is the influence of habitat and landscape characteristics on the diversity of hoverflies on 27 study sites on the territory of Serbia. On the occasion of determining the local characteristics of the habitat, data were obtained by orthomosaic classification using an unmanned aerial vehicle, as well as by analyzing samples of the chemical and physical properties of the soil in the investigated study sites. The degrees of habitat degradation were defined, quantified and compared from the maps obtained by an unmanned aerial vehicle with the map of potential vegetation and the map of CORINE land cover. In addition, the loss of species on the study sites was determined by the ratio of the recent and potential diversity of hoverflies in Serbia. The impacts of defined habitat characteristics - local and regional – were analyzed through four regression and classification models: recent diversity, loss of recent diversity, presence and loss of protected and strictly protected species. Study sites in the Vojvodina region and the study site Donje Vlase are the poorest habitats in terms of fauna diversity of hoverflies due to intensive anthropogenic activities such as agriculture, intensive use of agrochemicals and deforestation, which leads to irreversible processes of further loss of species. In contrast to them, the study sites Demizlok and Malinik with the highest diversity of hoverflies in Serbia are at the same time characterized by the lowest degree of habitat degradation. The mentioned study sites have the potential to be connected to protected areas in order to further preserve biodiversity. In three of the four analyzed models, the forest class, obtained at different scales, is the main characteristic that explains the trend and ranking of the diversity of hoverflies in the mentioned study sites. It has been confirmed that native beech forests are the main centers of species diversity that deserve special attention in terms of conservation. The results of this research indicate the importance of classifying local characteristics of habitats using an unmanned aerial vehicle and confirm the impact on the diversity of hoverflies and as such have the potential to become tools for monitoring of hoverflies and other pollinators and model organisms at the national and European level.

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    Authors: Isidora Simović; Jelena Tomićević Dubljević; Oliver Tošković; Maja Vujčić Trkulja; +1 Authors

    The positive impacts of urban forests on residents’ health are widely acknowledged. However, the methods used to quantify and demonstrate this relation are still a focus of research. The aim of the paper is to examine the relationship between the size and quality of different urban green areas to residents’ health based on the face-to-face survey and remote sensing data at 12 locations in Belgrade. The socio-economic and self-perceived health characteristics were analyzed. Based on green areas’ size and pollution, municipalities were divided into “less green” and “green”. Vegetation quality was assessed by Sentinel-2 vegetation indexes (VI). Results show that residents in less green and green municipalities differ in physical, social, and emotional health. The quality of green areas was inversely proportional to the amount of money spent on medications and the number of doctor’s visits indicating potential mechanisms of the health benefits of green areas. The lack of facilities led to different appreciation among residents. Results suggest that the quality of green infrastructure is more important than the amount in promoting residents’ health. Relating the characteristics of green areas to visitors proved to improve the correlation between residents’ health and the quality of green areas.

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    Forests
    Article . 2023 . Peer-reviewed
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    Article . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Forestsarrow_drop_down
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      Forests
      Article . 2023 . Peer-reviewed
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      Article . 2023
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    Authors: Ljiljana Šašić Zorić; Ljiljana Janjušević; Mila Djisalov; Teodora Knežić; +3 Authors

    Due to the evident aggressive nature of green mold and the consequently huge economic damage it causes for producers of edible mushrooms, there is an urgent need for prevention and infection control measures, which should be based on the early detection of various Trichoderma spp. as green mold causative agents. The most promising current diagnostic tools are based on molecular methods, although additional optimization for real-time, in-field detection is still required. In the first part of this review, we briefly discuss cultivation-based methods and continue with the secondary metabolite-based methods. Furthermore, we present an overview of the commonly used molecular methods for Trichoderma species/strain detection. Additionally, we also comment on the potential of genomic approaches for green mold detection. In the last part, we discuss fast screening molecular methods for the early detection of Trichoderma infestation with the potential for in-field, point-of-need (PON) application, focusing on isothermal amplification methods. Finally, current challenges and future perspectives in Trichoderma diagnostics are summarized in the conclusions.

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    ZENODO; Biology
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    Authors: María P. VELASCO-AMO; Antonio VICENT; Pablo J. ZARCO-TEJADA; Juan A. NAVAS-CORTÉS; +1 Authors

    Xylella fastidiosa is a major transboundary plant pest, causing severe socioeconomic impacts. Development of preventive strategies and methods for surveillance, early detection, monitoring, and accurate diagnosis of X. fastidiosa and its vectors, are keys to preventing the effects of this plant pathogen, and assist timely eradication or optimisation of containment measures. This review focuses on approaches for early detection of X. fastidiosa in the Mediterranean Basin, including development of climatic suitability risk maps to determine areas of potential establishment, and epidemiological models to assist in outbreak management through optimized surveillance and targeted responses. The usefulness of airborne hyperspectral and thermal images from remote sensing to discriminate X. fastidiosa infections from other biotic and abioticinduced spectral signatures is also discussed. The most commonly used methods for identifying X. fastidiosa in infected plants and vectors, and the molecular approaches available to genetically characterize X. fastidiosa strains, are described. Each of these approaches has trade-offs, but stepwise or simultaneous combinations of these methods may help to contain X. fastidiosa epidemics in the Mediterranean Basin. Some of the research presented in this review was funded by the following projects: BeXyl (Beyond Xylella, Integrated Management Strategies for Mitigating Xylella fastidiosa impact in Europe; grant ID 101060593, from European Union’s Horizon Europe ‘Food, Bioeconomy Natural Resources, Agriculture and Environment’ Programme); XF-ACTORS (Xylella fastidiosa Active Containment Through a Multidisciplinary-Oriented Research Strategy; grant 727987, from the European Union’s Horizon 2020 Framework Research Programme); POnTE (Pest Organisms Threatening Europe; grant ID 635646, from the European Union’s Horizon 2020 Framework Research Programme); E-RTA2017-00004-C06-02 (Desarrollo de estrategias de erradicación, contención y control de X. fastidiosa en España) from ‘Programa Estatal de I+D+I Orientada a los Retos de la Sociedad of the Spanish Government AEI-INIA Spain’ and the Spanish Olive Oil Interprofesional; Project P18-RT-4184 from Junta de Andalucia and the European Regional Development Fund; and the Intramural Project 201840E111 and the Thematic Interdisciplinary Platform on X. fastidiosa (PTI Sol-Xyl) from CSIC. 60th MPU Anniversary Special Section. Peer reviewed

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    Phytopathologia Mediterranea
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      Phytopathologia Mediterranea
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    Authors: Tijana Devaja; Milica Petković; Francisco J. Escribano; Čedomir Stefanović; +1 Authors

    In this paper, we propose a Slotted ALOHA (SA)-inspired solution for an indoor optical wireless communication (OWC)-based Internet of Things (IoT) system. Assuming that the OWC receiver exploits the capture effect, we are interested in the derivation of error probability of decoding a short-length data packet originating from a randomly selected OWC IoT transmitter. The presented OWC system analysis rests on the derivation of the signal-to-noise-and-interference-ratio (SINR) statistics and usage of finite block-length (FBL) information theory, from which relevant error probability and throughput is derived. Using the derived expressions, we obtain numerical results which are further utilized to characterize the trade-offs between the system performance and the OWC system setup parameters. The indoor OWC-based system geometry plays an important role in the system performance, thus the presented results can be used as a guideline for the system design to optimize the performance of the SA-based random access protocol. Submitted

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    https://doi.org/10.48550/arxiv...
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      https://doi.org/10.48550/arxiv...
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    Authors: Barjaktarovic, Marko; Santoni, Massimo; Faralli, Michele; Bertamini, Massimo; +1 Authors
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    Authors: Zaviša Gordić; Kosta Jovanović;

    This paper presents a method to include unmodeled dynamics of load or a robot’s end-effector into algorithms for collision detection or general understanding of a robot’s operation context. The approach relies on the application of a previously developed modification of the Dynamic Time Warping algorithm, as well as a universally applicable algorithm for identifying kinematic parameters. The entire process can be applied to arbitrary robot configuration, and it does not require identification of dynamic parameters. The paper addresses the two main categories of contact tasks with unmodelled dynamics, which are determined based on whether the external contact force has a consistent profile in the end effector or base coordinate. Conclusions for representative examples analysed in the paper are applicable to tasks such as load manipulation, press bending, and crimping for the first type of forces and applications such as drilling, screwdriving, snap-fit, bolting, and riveting assembly for the latter category. The results presented in the paper are based on realistic testing with measurements obtained from an industrial robot.

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    Sensors
    Other literature type . Article . 2022 . Peer-reviewed
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    Authors: Guillén, Sergio; Sala, Pilar; Fico, Giuseppe; Arredondo, María Teresa; +26 Authors

    The IoT European Large-Scale Pilots Programme includes the innovation consortia that are collaborating to foster the deployment of IoT solutions in Europe through the integration of advanced IoT technologies across the value chain, demonstration of multiple IoT applications at scale and in a usage context, and as close as possible to operational conditions. The programme projects are targeted, goal-driven initiatives that propose IoT approaches to specific real-life industrial/societal challenges. They are autonomous entities that involve stakeholders from the supply side to the demand side, and contain all the technological and innovation elements, the tasks related to the use, application and deployment as well as the development, testing and integration activities. This chapter describes the IoT Large Scale Pilot Programme initiative together with all involved actors. These actors include the coordination and support actions CREATE-IoT and U4IoT, being them drivers of the programme, and all five IoT Large-Scale Pilot projects, namely ACTIVAGE, IoF2020, MONICA, SynchroniCity and AUTOPILOT. ot projects, namely ACTIVAGE,IoF2020, MONICA, SynchroniCity and AUTOPILOT. ISBN for host publication: 978-87-93609-11-2, 978-10-03337-58-4;Full text license: CC BY-NC

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    Other literature type . Part of book or chapter of book . 2017
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    Publikationer Luleå Tekniska Universitet
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    https://doi.org/10.1201/978100...
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    PURE Aarhus University
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    Part of book or chapter of book . 2017
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      NARCIS; Research@WUR
      Other literature type . Part of book or chapter of book . 2017
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      SINTEF Open
      Part of book or chapter of book . 2017
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      Norwegian Open Research Archives
      Part of book or chapter of book . 2017
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      Publikationer Luleå Tekniska Universitet
      Part of book or chapter of book . 2017 . Peer-reviewed
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      https://doi.org/10.1201/978100...
      Part of book or chapter of book . 2022 . Peer-reviewed
      License: CC BY NC
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      PURE Aarhus University
      Part of book or chapter of book . 2017
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      PURE Aarhus University
      Part of book or chapter of book . 2017
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Mona, Licia; Amiridis, Vassilis; Cuevas, Emilio; Gkikas, Antonis; +22 Authors

    Authors acknowledge dr Sangboom Ryoo of Korean Meteorological Administration in Seoul for his help and support.The research leading to these results has received funding from the COST ActionCA16202, supported by COST Association (European Cooperation in Science and Technology), from DustClim Project as part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), DLR (DE), BMWFW (AT), IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union (Grant 690462) and by the European Union’s Horizon 2020 research program for societal challenges – smart, green and integrated transport under grant agreement no.723986 (project EUNADICS-AV – European Natural Disaster Coordination and Information System for Aviation). L. Mona acknowledges the ACTRIS-IMP (Implementation project), funded by the European Union’s Horizon 2020 research and innovation programme (Grant no 871115) and the contribution of the ACTRIS-ITALIA JRU (CNR prot. n. 0067310/2017). S. Basart acknowledges CAMS-84 and CAMS2-82 (part of the Copernicus Atmospheric Monitoring Services, CAMS) and the Spanish Jose Castillejo mobility programme (CAS18/0033). V. Amiridis acknowledges support from the European Research Council (grant no. 725698, D-TECT). A. Gkikas acknowledges support by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the “2nd Call for H.F.R.I. Research Projects to support Post-Doctoral Researchers” (project acronym: ATLANTAS, project number: 544). S. Kazadzis acknowledges the ACTRIS-CH (Aerosol, Clouds and Trace Gases Research Infrastructure–- Swiss contribution) funded by the State Secretariat for Education, Research, and Innovation, Switzerland. Work of P. Dagsson-Waldhauserova was partly funded by the Czech Science Foundation (HLD-CHANGE project, no. 20-06168Y). C. Pérez García-Pando acknowledges the long-term support from the AXA Research Fund, as well as the support received through the Ramón y Cajal programme (grant RYC-2015-18690) of the Spanish Ministry of Economy and Competitiveness, and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 773051).B. Weinzierl acknowledges funding under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 640458, A‐LIFE). Mineral dust produced by wind erosion of arid and semi-arid surfaces is a major component of atmospheric aerosol that affects climate, weather, ecosystems, and socio-economic sectors such as human health, transportation, solar energy, and air quality. Understanding these effects and ultimately improving the resilience of affected countries requires a reliable, dense, and diverse set of dust observations, fundamental for the development and the provision of skillful dust forecasts tailored products. The last decade has seen a notable improvement of dust observational capabilities in terms of considered parameters, geographical coverage, and delivery times, as well as of tailored products of interest to both the scientific community and the various end-users. Given this progress, here we review the current state of observational capabilities including in-situ, ground-based and satellite remote sensing observations, in Northern Africa, the Middle East and Europe for the provision of dust information considering the needs of various users. We also critically discuss observational gaps and related unresolved questions while providing suggestions for overcoming the current limitations. Our review aims to be a milestone for discussing dust observational gaps at a global level to address the needs of users, from research communities to nonscientific stakeholders "Article signat per 26 autors/es: Lucia Mona, Vassilis Amiridis, Emilio Cuevas, Antonis Gkikas, Serena Trippetta, Sophie Vandenbussche, Angela Benedetti, Pavla Dagsson-Waldhauserova, Paola Formenti, Alexander Haefele, Stelios Kazadzis, Peter Knippertz, Benoit Laurent, Fabio Madonna, Slobodan Nickovic, Nikolaos Papagiannopoulos, Gelsomina Pappalardo, Carlos Pérez García-Pando, Thomas Popp, Sergio Rodríguez, Andrea Sealy, Nobuo Sugimoto, Enric Terradellas, Ana Vukovic Vimic, Bernadette Weinzierl, and Sara Basart " Peer Reviewed

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    CNR ExploRA
    Article . 2023
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    Authors: Antonijević, Ognjen; Jelić, Slobodan; Bajat, Branislav; Kilibarda, Milan;

    AbstractThis paper presents a transfer learning approach to the crop classification problem based on time series of images from the Sentinel-2 dataset labeled for two regions: Brittany (France) and Vojvodina (Serbia). During preprocessing, cloudy images are removed from the input data, the time series are interpolated over the time dimension, and additional remote sensing indices are calculated. We chose TransformerEncoder as the base model for knowledge transfer from source to target domain with French and Serbian data, respectively. Even more, the accuracy of the base model with the preprocessing step is improved by 2% when trained and evaluated on the French dataset. The transfer learning approach with fine-tuning of the pre-trained weights on the French dataset outperformed all other methods in terms of overall accuracy 0.94 and mean class recall 0.907 on the Serbian dataset. Our partially fine-tuned model improved recall of crop types that were poorly classified by the base model. In the case of sugar beet, class recall is improved by 85.71%.

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    Journal of Big Data
    Article . 2023 . Peer-reviewed
    License: CC BY
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    DOAJ
    Article . 2023
    Data sources: DOAJ
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      Journal of Big Data
      Article . 2023 . Peer-reviewed
      License: CC BY
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      DOAJ
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    Људске активности мењају карактеристике станишта и предела који представљају предуслов за постојање и одржавање биолошког диверзитета. Предмет истраживања у оквиру ове докторске дисертације је утицај карактеристика станишта и предела на диверзитет осоликих мува на 27 истраживаних локалитета на територији Србије. Прилоиком одређивања локланих карактеристика станишта подаци су добијени класификацијом ортомозаика помоћу беспилотне летелице као и анализом узорака хемијских и физичких својстава земљишта на истраживаним локалитетима. Дефинисани су, квантификовани и поређени степени деградације станишта из мапа добијених беспилотном летелицом са мапом потенцијалне вегетације и мапом земљишног покривача. Поред тога, утврђен је губитак врста на истраживаним локалитетима односом рецентног и потенцијалног диверзитета осоликих мува у Србији. Утицаји дефинисаних карактеристика станишта - локалних и предеоних анализирани су кроз четири модела регресије и класификације: рецентни диверзитет, губитак рецентног диверзитета, присуство и губитак заштићених и строго заштићених врста. Локалитети на подручју Војводине и локалитет Доње Власе су најсиромашнија станишта у погледу разноврсности фауне осоликих мува због интензивних антропогених активности као што су пољопривреда, интензивна употреба агрохемикалија и сеча шума, што доводи до иреверзибилних процеса даљег губитка врста. Насупрот њима, локалитети Демизлок и Малиник са највећим диверзитетом осоликих мува у Србији истовремено се одликују најмањим степеном деградације станишта. Наведени локалитети имају потенцијал да се прикључе заштићеним подручјима у циљу даљег очувања биодиверзитета. У три од четири анализирана модела класа шума, добијена на различитим скалама, је главно обележје које објашњава тренд и рангираност диверзитета осоликих мува на истраживаним локалитетима. Потврђено је да су изворне букове шуме главни центри разноврсности врста које заслужују посебну пажњу у конзервационом смислу. Резултати овог истраживања указују на важност класификације локалних карактеристика станишта помоћу беспилотне летелице и потврђују утицај на диверзитет осоликих мува и као такве имају потенцијал да постану алати за мониторинг осоликих мува и других опрашивача и модел организама на националном и европском нивоу. LJudske aktivnosti menjaju karakteristike staništa i predela koji predstavljaju preduslov za postojanje i održavanje biološkog diverziteta. Predmet istraživanja u okviru ove doktorske disertacije je uticaj karakteristika staništa i predela na diverzitet osolikih muva na 27 istraživanih lokaliteta na teritoriji Srbije. Priloikom određivanja loklanih karakteristika staništa podaci su dobijeni klasifikacijom ortomozaika pomoću bespilotne letelice kao i analizom uzoraka hemijskih i fizičkih svojstava zemljišta na istraživanim lokalitetima. Definisani su, kvantifikovani i poređeni stepeni degradacije staništa iz mapa dobijenih bespilotnom letelicom sa mapom potencijalne vegetacije i mapom zemljišnog pokrivača. Pored toga, utvrđen je gubitak vrsta na istraživanim lokalitetima odnosom recentnog i potencijalnog diverziteta osolikih muva u Srbiji. Uticaji definisanih karakteristika staništa - lokalnih i predeonih analizirani su kroz četiri modela regresije i klasifikacije: recentni diverzitet, gubitak recentnog diverziteta, prisustvo i gubitak zaštićenih i strogo zaštićenih vrsta. Lokaliteti na području Vojvodine i lokalitet Donje Vlase su najsiromašnija staništa u pogledu raznovrsnosti faune osolikih muva zbog intenzivnih antropogenih aktivnosti kao što su poljoprivreda, intenzivna upotreba agrohemikalija i seča šuma, što dovodi do ireverzibilnih procesa daljeg gubitka vrsta. Nasuprot njima, lokaliteti Demizlok i Malinik sa najvećim diverzitetom osolikih muva u Srbiji istovremeno se odlikuju najmanjim stepenom degradacije staništa. Navedeni lokaliteti imaju potencijal da se priključe zaštićenim područjima u cilju daljeg očuvanja biodiverziteta. U tri od četiri analizirana modela klasa šuma, dobijena na različitim skalama, je glavno obeležje koje objašnjava trend i rangiranost diverziteta osolikih muva na istraživanim lokalitetima. Potvrđeno je da su izvorne bukove šume glavni centri raznovrsnosti vrsta koje zaslužuju posebnu pažnju u konzervacionom smislu. Rezultati ovog istraživanja ukazuju na važnost klasifikacije lokalnih karakteristika staništa pomoću bespilotne letelice i potvrđuju uticaj na diverzitet osolikih muva i kao takve imaju potencijal da postanu alati za monitoring osolikih muva i drugih oprašivača i model organizama na nacionalnom i evropskom nivou. Human activities change the characteristics of habitats and landscapes, which are a prerequisite for the existence and maintenance of biological diversity. The subject of research within this doctoral dissertation is the influence of habitat and landscape characteristics on the diversity of hoverflies on 27 study sites on the territory of Serbia. On the occasion of determining the local characteristics of the habitat, data were obtained by orthomosaic classification using an unmanned aerial vehicle, as well as by analyzing samples of the chemical and physical properties of the soil in the investigated study sites. The degrees of habitat degradation were defined, quantified and compared from the maps obtained by an unmanned aerial vehicle with the map of potential vegetation and the map of CORINE land cover. In addition, the loss of species on the study sites was determined by the ratio of the recent and potential diversity of hoverflies in Serbia. The impacts of defined habitat characteristics - local and regional – were analyzed through four regression and classification models: recent diversity, loss of recent diversity, presence and loss of protected and strictly protected species. Study sites in the Vojvodina region and the study site Donje Vlase are the poorest habitats in terms of fauna diversity of hoverflies due to intensive anthropogenic activities such as agriculture, intensive use of agrochemicals and deforestation, which leads to irreversible processes of further loss of species. In contrast to them, the study sites Demizlok and Malinik with the highest diversity of hoverflies in Serbia are at the same time characterized by the lowest degree of habitat degradation. The mentioned study sites have the potential to be connected to protected areas in order to further preserve biodiversity. In three of the four analyzed models, the forest class, obtained at different scales, is the main characteristic that explains the trend and ranking of the diversity of hoverflies in the mentioned study sites. It has been confirmed that native beech forests are the main centers of species diversity that deserve special attention in terms of conservation. The results of this research indicate the importance of classifying local characteristics of habitats using an unmanned aerial vehicle and confirm the impact on the diversity of hoverflies and as such have the potential to become tools for monitoring of hoverflies and other pollinators and model organisms at the national and European level.

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    Authors: Isidora Simović; Jelena Tomićević Dubljević; Oliver Tošković; Maja Vujčić Trkulja; +1 Authors

    The positive impacts of urban forests on residents’ health are widely acknowledged. However, the methods used to quantify and demonstrate this relation are still a focus of research. The aim of the paper is to examine the relationship between the size and quality of different urban green areas to residents’ health based on the face-to-face survey and remote sensing data at 12 locations in Belgrade. The socio-economic and self-perceived health characteristics were analyzed. Based on green areas’ size and pollution, municipalities were divided into “less green” and “green”. Vegetation quality was assessed by Sentinel-2 vegetation indexes (VI). Results show that residents in less green and green municipalities differ in physical, social, and emotional health. The quality of green areas was inversely proportional to the amount of money spent on medications and the number of doctor’s visits indicating potential mechanisms of the health benefits of green areas. The lack of facilities led to different appreciation among residents. Results suggest that the quality of green infrastructure is more important than the amount in promoting residents’ health. Relating the characteristics of green areas to visitors proved to improve the correlation between residents’ health and the quality of green areas.

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    Authors: Ljiljana Šašić Zorić; Ljiljana Janjušević; Mila Djisalov; Teodora Knežić; +3 Authors

    Due to the evident aggressive nature of green mold and the consequently huge economic damage it causes for producers of edible mushrooms, there is an urgent need for prevention and infection control measures, which should be based on the early detection of various Trichoderma spp. as green mold causative agents. The most promising current diagnostic tools are based on molecular methods, although additional optimization for real-time, in-field detection is still required. In the first part of this review, we briefly discuss cultivation-based methods and continue with the secondary metabolite-based methods. Furthermore, we present an overview of the commonly used molecular methods for Trichoderma species/strain detection. Additionally, we also comment on the potential of genomic approaches for green mold detection. In the last part, we discuss fast screening molecular methods for the early detection of Trichoderma infestation with the potential for in-field, point-of-need (PON) application, focusing on isothermal amplification methods. Finally, current challenges and future perspectives in Trichoderma diagnostics are summarized in the conclusions.

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    ZENODO; Biology
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      ZENODO; Biology
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    Authors: María P. VELASCO-AMO; Antonio VICENT; Pablo J. ZARCO-TEJADA; Juan A. NAVAS-CORTÉS; +1 Authors

    Xylella fastidiosa is a major transboundary plant pest, causing severe socioeconomic impacts. Development of preventive strategies and methods for surveillance, early detection, monitoring, and accurate diagnosis of X. fastidiosa and its vectors, are keys to preventing the effects of this plant pathogen, and assist timely eradication or optimisation of containment measures. This review focuses on approaches for early detection of X. fastidiosa in the Mediterranean Basin, including development of climatic suitability risk maps to determine areas of potential establishment, and epidemiological models to assist in outbreak management through optimized surveillance and targeted responses. The usefulness of airborne hyperspectral and thermal images from remote sensing to discriminate X. fastidiosa infections from other biotic and abioticinduced spectral signatures is also discussed. The most commonly used methods for identifying X. fastidiosa in infected plants and vectors, and the molecular approaches available to genetically characterize X. fastidiosa strains, are described. Each of these approaches has trade-offs, but stepwise or simultaneous combinations of these methods may help to contain X. fastidiosa epidemics in the Mediterranean Basin. Some of the research presented in this review was funded by the following projects: BeXyl (Beyond Xylella, Integrated Management Strategies for Mitigating Xylella fastidiosa impact in Europe; grant ID 101060593, from European Union’s Horizon Europe ‘Food, Bioeconomy Natural Resources, Agriculture and Environment’ Programme); XF-ACTORS (Xylella fastidiosa Active Containment Through a Multidisciplinary-Oriented Research Strategy; grant 727987, from the European Union’s Horizon 2020 Framework Research Programme); POnTE (Pest Organisms Threatening Europe; grant ID 635646, from the European Union’s Horizon 2020 Framework Research Programme); E-RTA2017-00004-C06-02 (Desarrollo de estrategias de erradicación, contención y control de X. fastidiosa en España) from ‘Programa Estatal de I+D+I Orientada a los Retos de la Sociedad of the Spanish Government AEI-INIA Spain’ and the Spanish Olive Oil Interprofesional; Project P18-RT-4184 from Junta de Andalucia and the European Regional Development Fund; and the Intramural Project 201840E111 and the Thematic Interdisciplinary Platform on X. fastidiosa (PTI Sol-Xyl) from CSIC. 60th MPU Anniversary Special Section. Peer reviewed

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    Phytopathologia Mediterranea
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      Phytopathologia Mediterranea
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    Authors: Tijana Devaja; Milica Petković; Francisco J. Escribano; Čedomir Stefanović; +1 Authors

    In this paper, we propose a Slotted ALOHA (SA)-inspired solution for an indoor optical wireless communication (OWC)-based Internet of Things (IoT) system. Assuming that the OWC receiver exploits the capture effect, we are interested in the derivation of error probability of decoding a short-length data packet originating from a randomly selected OWC IoT transmitter. The presented OWC system analysis rests on the derivation of the signal-to-noise-and-interference-ratio (SINR) statistics and usage of finite block-length (FBL) information theory, from which relevant error probability and throughput is derived. Using the derived expressions, we obtain numerical results which are further utilized to characterize the trade-offs between the system performance and the OWC system setup parameters. The indoor OWC-based system geometry plays an important role in the system performance, thus the presented results can be used as a guideline for the system design to optimize the performance of the SA-based random access protocol. Submitted

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    https://doi.org/10.48550/arxiv...
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      https://doi.org/10.48550/arxiv...
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    Authors: Barjaktarovic, Marko; Santoni, Massimo; Faralli, Michele; Bertamini, Massimo; +1 Authors
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    Authors: Zaviša Gordić; Kosta Jovanović;

    This paper presents a method to include unmodeled dynamics of load or a robot’s end-effector into algorithms for collision detection or general understanding of a robot’s operation context. The approach relies on the application of a previously developed modification of the Dynamic Time Warping algorithm, as well as a universally applicable algorithm for identifying kinematic parameters. The entire process can be applied to arbitrary robot configuration, and it does not require identification of dynamic parameters. The paper addresses the two main categories of contact tasks with unmodelled dynamics, which are determined based on whether the external contact force has a consistent profile in the end effector or base coordinate. Conclusions for representative examples analysed in the paper are applicable to tasks such as load manipulation, press bending, and crimping for the first type of forces and applications such as drilling, screwdriving, snap-fit, bolting, and riveting assembly for the latter category. The results presented in the paper are based on realistic testing with measurements obtained from an industrial robot.

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    Sensors
    Other literature type . Article . 2022 . Peer-reviewed
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    Authors: Guillén, Sergio; Sala, Pilar; Fico, Giuseppe; Arredondo, María Teresa; +26 Authors

    The IoT European Large-Scale Pilots Programme includes the innovation consortia that are collaborating to foster the deployment of IoT solutions in Europe through the integration of advanced IoT technologies across the value chain, demonstration of multiple IoT applications at scale and in a usage context, and as close as possible to operational conditions. The programme projects are targeted, goal-driven initiatives that propose IoT approaches to specific real-life industrial/societal challenges. They are autonomous entities that involve stakeholders from the supply side to the demand side, and contain all the technological and innovation elements, the tasks related to the use, application and deployment as well as the development, testing and integration activities. This chapter describes the IoT Large Scale Pilot Programme initiative together with all involved actors. These actors include the coordination and support actions CREATE-IoT and U4IoT, being them drivers of the programme, and all five IoT Large-Scale Pilot projects, namely ACTIVAGE, IoF2020, MONICA, SynchroniCity and AUTOPILOT. ot projects, namely ACTIVAGE,IoF2020, MONICA, SynchroniCity and AUTOPILOT. ISBN for host publication: 978-87-93609-11-2, 978-10-03337-58-4;Full text license: CC BY-NC

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